Bioengineering of one dimensional hierarchical Cu 7 S 4 hollow nanotubes for non-enzymatic glucose sensing applications.
Giday G WelegergsAbera D AmbayeMbulelo JokaziNnamdi NwaharaTebello NyokongPublished in: RSC advances (2024)
Herein, a novel and facile eco-friendly green chemistry approach has been devised at room temperature for synthesis of 1D hierarchical Cu 7 S 4 hollow nanotubes on Cu substrate via volatile organosulfur compounds from Allium sativum L for non-enzymatic glucose detection. Field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), energy dispersive X-ray spectroscopy (EDX), and X-ray spectroscopy (XPS) were employed to characterize the surface morphology, structural phase, compositional, and chemical states of the obtained samples, respectively. The SEM results confirm the formation of 1D hierarchical Cu 7 S 4 hollow nanotubes. The XRD patterns are indexed to orthogonal anilite Cu 7 S 4 crystal planes and the EDX spectra clearly reveal the presence of Cu and S elements. XPS spectra confirms peaks of Cu 2p and S 1s core levels, which are typical characteristics of Cu(i) and S(ii), respectively. The Brunauer-Emmett-Teller (BET) specific surface area for obtained Cu 7 S 4 hollow nanotubes is 2.07 m 2 g -1 with a pore size distribution of 27.90 nm. Using Cu 7 S 4 hollow nanotubes, the detection of non-enzymatic glucose was conducted over a dynamic range of concentrations from 0.5 to 100 μmol L -1 and reveals a high sensitivity of 1058.33 μA mM -1 cm -2 and a limit of detection (LOD) of 0.127 μmol L -1 . The obtained results indicated that Cu 7 S 4 hollow nanotubes are promising candidates for non-enzymatic glucose detection.
Keyphrases
- metal organic framework
- electron microscopy
- aqueous solution
- high resolution
- room temperature
- hydrogen peroxide
- molecularly imprinted
- type diabetes
- nitric oxide
- magnetic resonance imaging
- photodynamic therapy
- computed tomography
- mass spectrometry
- density functional theory
- dual energy
- quantum dots
- metabolic syndrome
- molecular dynamics
- liquid chromatography